Data & ML Engineer, SE 3

At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass authenticity thrives bold ideas are welcome and everyone can bring their unique selves to work every day. Were in this together sustaining the future of our customers our company and our planet.

Join a team of passionate thinkers innovators and dreamers and help us connect people and build communities to create economic opportunity for all.

eBay is a global commerce leader that empowers individuals to shape how the world buys sells and contributes. Our work culture has been rooted in genuine commitment to diversity and inclusion since our founding 30 years ago. Here you have the freedom to be yourself excel in your work and make a meaningful impact on people worldwide. We are seeking individuals with drive innovative ideas and a passion for ensuring our customers success and influencing the future of eBay. If this resonates with you wed love to have a conversation with you!

About Our Team:

The Product Knowledge team is at the epicenter of eBays Tech-driven Customer-centric overhaul. Our team is responsible for building and leveraging eBays Product Knowledge enabling a deep understanding of user intent and preferences. By transforming vast and complex data into actionable intelligence we deliver personalized experiences across different stages of the buying and selling journey. Our team has a mix of highly proficient people from fields including Machine Learning Data Science Software Engineering and Big Data Analytics. We have a strong culture of collaboration and plenty of opportunity to learn make an impact and grow!

The role: Data & ML Engineer SE 3

We are looking for exceptional Engineers who take pride in creating simple solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following:

• Building a pipeline that processes up to billions of items frequently employing ML models on these datasets.

• Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items.

• Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components.

• Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality.

If you love a good challenge and are good at handling complexity - wed love to hear from you!

Responsibilities:

• Design deliver and maintain significant features in data pipelines ML processing and / or service infrastructure.

• Optimize software performance to achieve the required throughput and / or latency.

• Work with your manager peers and Product Managers to scope projects and features.

• Come up with a sound technical strategy taking into consideration the project goals timelines and expected impact.

• Take point on some cross-team efforts taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution.

• Take active part in knowledge sharing across the organization - both teaching and learning from others.

Requirements:

• . Computer Science or an equivalent professional experience.

• 2 years of software design and development experience tackling non-trivial problems in backend services and / or data pipelines.

• Solid foundation in Data Structures Algorithms Object-Oriented Programming and Software Design.

• Experience in production-grade coding in Java and Python/Scala.

• Experience in using and operating Big Data processing pipelines such as: Hadoop and Spark

• Experience in production software systems.

• Good verbal and written communication and collaboration skills.

• Passion and commitment for technical excellence.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion national origin sex sexual orientation gender identity veteran status and disability or other legally protected status. If you have a need that requires accommodation please contact us at We will make every effort to respond to your request for accommodation as soon as possible. View our Accessibility Statement to learn more about eBays commitment to ensuring digital accessibility for people with disabilities.

Additional Details

The base pay range for this position is expected in the range below:

Base pay offered may vary depending on multiple individualized factors including location skills and experience. The total compensation package for this position may also include other elements including a target bonus and restricted stock units (as applicable) in addition to a full range of medical financial and/or other benefits (including RRSP eligibility various paid time off benefits such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

This job posting relates to an existing vacancy within eBay.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion national origin sex sexual orientation gender identity and disability or other legally protected you have a need that requires accommodation please contact us at. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBays commitment to ensuring digital accessibility.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly please visit ourTalent Privacy Notice Privacy Center and AI Hiring Guidelines.